上海电力需求侧管理现状和设想

2003年，上海市电力公司认真贯彻落实国家发改委、电监会和国网公司有关文件精神，在国网公司、华东公司及市政府的领导下，在兄弟省市电力公司的支持和网内电厂的积极配合下，加强需求侧管理、加快电网建设、优化方式、精心调度、化解事故，经受了夏季高峰严重缺电，保证了电网安全稳定有序运行，最大程度地满足了社会经济和人民生活对电力的需求。     

上海电力迎峰度夏和需求侧管理

电力需求侧管理是经委目前抓的主要工作之一，目的一是抓平衡电力供需，尤其是今年；二是从长远来看如何做好节电节能和电力需求侧管理。     

需求侧管理电力可持续发展的重要支持手段

近几年来，上海国民经济的快速增长、产业结构的转变、人民生活水平的大幅度提高，导致上海电力需求的迅速增长和变化，以及负荷高峰时段电力供应缺口的进一步加大，在一定程度上影响着上海国民经济和社会的协调发展。在这种态势下，需求侧管理成为了电力可持续发展的重要支持手段。     

电力需求侧管理技术下的电力经济管理探讨

在当前社会发展中,信息技术正在不断进步发展,针对于电力发展来讲,需要重视电力经济管理,如果缺少电力支撑,则会导致诸多领域都停止运转。所以,在电力需求侧管理技术推广下,需要确保社会用电更加合理,使资源得到科学分配。本文主要分析电力需求侧管理技术下电力经济管理对策,希望可以促进电力经济实现可持续发展。     

九江市电力需求侧管理发展现状与策略研究

介绍了九江市电力供需情况和电力需求侧管理发展现状,并分析了开展电力需求侧管理工作存在的主要障碍。在此基础上,提出了建设电能服务管理平台、规模实施能效电厂、推进电力负荷管理、促进电能服务产业发展、加强基础能力建设等实施策略。     

缓解上海电力紧张的新战略——综合资源规划和需求侧管理方法的应用

八十年代以来,可持续发展和环境保护已成为国际社会关注的焦点,而能源的资源短缺和环境污染的日趋严重已成为制约社会和经济发展的重要因素之一。发达国家积极寻找新的能源规划方法,以减少能源工业建设投入,保护环境,获得综合经济效益。这种称之为综合资源规划(Integrated Resource Planning,简称 IRP)方法产生并在电力系统得到迅速应用。     

利用电力需求侧管理技术解决电力经济管理问题的对策探讨

电力资源是新时期我国经济社会建设过程中最重要的资源之一,保障电力资源稳定供应、加强电力系统各方面工作质量,是优化人民群众生产生活秩序的必然选择。而电力需求侧管理则是各方面工作的重中之重,其能够从根本上避免电力经济管理问题,本文就根据实际情况,在简单介绍电力需求侧管理的基础上,对利用电力需求侧管理技术解决电力经济管理问题的方式方法进行深入研究。     

加强需求侧管理降低油田电能损耗

扼要说明了实施DSM的意义 ,并根据中原油田供配电系统的现状及存在的主要问题 ,提出了切实可行降低线损的DSM技术方案。通过实施达到了节能降耗之目的 ,取得了显著的经济效益。     

Evaluation of a demand side management photovoltaic system

Photovoltaic power systems are potentially well suited to commercial demand side management applications because the solar resource coincides well with the typical weekday load profile of many types of commercial utility customers. To investigate this potential a 13 kW AC PV system has been installed by Niagara Mohawk near Albany, NY, USA. The results from two years of operation show that photovoltaics can play an important role in reducing a building's daytime peak demand, especially when that peak demand is driven by air conditioning loads     

Economic profitability analysis of demand side management program

This study considers both the internal and external costs of the utility in deriving the avoided capacity cost (ACC) and avoided operating cost (AOC) induced in an electric utility caused by the implementation of a demand side management program (DSM). In calculating the ACC, a multiple objective linear programming model is developed. Meanwhile, the AOC is calculated by considering the differences between the total and specific time period energy consumption ratios before and after the implementation of the DSM program. This study also develops an economic analysis method using Net Present Value and Pay Back Year models to assess the economic profitability of implementing a DSM program from a participant’s point of view. The design and construction of a partial load leveling eutectic salt Cooling Energy Storage (CES) air conditioning system in a target office building in Kaohsiung, Taiwan, is discussed in order to simulate the cost benefit of the CES system from the perspective of the utility and from that of the participant. The results confirm the effectiveness of the developed models in simulating the economic benefits of implementing a DSM program from the perspectives of both the utility and the participant.     

Conservation and deferral potentials of demand side management programmes: A case study

Demand side management options (DSMO) can reduce the peak electricity demand for utilities. This reduction in demand is helpful to the utility in at least two ways: first, it minimizes the penalty costs of not being able to meet the peak demand and thus it has the potential to reduce costs; second, it also can defer the need for building new power plants and hence it can release, at least for some period of time, the scarce capital (which is especially important for the developing countries) for use in development activities elsewhere. These two benefits have been considered in detail in the paper. An analytical model has been developed to estimate the conservation potential of the DSM programmes. The model is then used to illustrate the benefit derived by deferring the construction of a new power plant. The model has been applied to the Maharashtra State Electricity Board, an electric utility in India, as a case study. Several scenarios have been constructed to account for different levels of the DSM possibilites. A sensitivity analysis has been carried out to tackle some of the uncertainties associated with the assumptions in the analysis.     

Photovoltaics and demand side management performance analysis at auniversity building

A performance evaluation of crystalline and amorphous silicon photovoltaic (PV) modules is presented in the light of their ability to perform as a demand side management (DSM) tool. Roof mounted, fixed-axis PV modules provide a very close match between their outputs and building peak load. The data presented is from the Virginia Tech Solar Test Facility (VTSTF) over the two year period from June 1989 to May 1991. The VTSTF is comprised of three types of module; Solarex SA20 (616 watts), ARCO Solar M55 (954 watts), and ARCO Solar G4000 (680 watts). Also, the load of a six story academic building, on which the arrays are mounted, is monitored. The meteorological station collects weather information from the top of the building every 10 minutes. During the two years, the station has produced over 3.7 megawatt-hr of DC energy. During the first year of operation the SA20, M55, and the G4000 arrays produced 21%, 30%, and 30% of their rated DC energy. In the second year the corresponding numbers were 20%, 30%, and 25%. These values are normalized with the number of days of operation. A comparative analysis shows that for DSM applications; 2-axis tracking provides only marginal benefits, and may not be cost effective     

Real-time energy management in an off-grid smart home: Flexible demand side control with electric vehicle and green hydrogen production

A real-time energy management system for an off-grid smart home is presented in this paper. The primary energy sources for the system are wind turbine and photovoltaics, with a fuel cell serving as a supporting energy source. Surplus power is used to generate hydrogen through an electrolyzer. Data on renewable energy and load demand is gathered from a real smart home located in the Yildiz Technical University Smart Home Laboratory. The aim of the study is to reduce hydrogen consumption and effectively utilize surplus renewable energy by managing controllable loads with fuzzy logic controller, all while maintaining the user's comfort level. Load shifting and tuning are used to increase the demand supplied by renewable energy sources by 10.8% and 13.65% from wind turbines and photovoltaics, respectively. As a result, annual hydrogen consumption is reduced by 7.03%, and the average annual efficiency of the fuel cell increases by 4.6%     

A single phase parallely connected uninterruptible powersupply/demand side management system

This paper presents the application of a single-phase parallel converter as an uninterruptible power supply and demand side management system. The proposed system consists of a bi-directional inverter that is connected in parallel to the utility system. When the grid system fails, the converter will convert the power from the battery to the AC side (utility side) at the mains voltage and frequency. On the other hand, when the utility is normal the converter will act as a demand side management system. It charges the battery during low load and shaves the transient load at the peak period system. This improves the pattern of the demand variation in the utility side. This paper presents the operational principle of the uninterruptible power supply and demand side management system, laboratory, and simulation results